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Perform complex application design and programming activities in the latest technologies: Java, REST, Microservices, Angular, React, Spring boot, Spring Security, Kafka, Hibernate, MQ, OpenShift, AWS/Cloud infrastructure, Kubernetes, Docker, Jenkins.
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Key Words: Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Databricks | Cassandra | Kubernetes | Microservices | Spark | Databricks |. Familiarity with cloud technology stacks including AWS, Kubernetes, Spring Boot, Kafka, SSO, and Cassandra.
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3+ years experience in OS-level containerization virtualization/techniques using Docker, WindRiver, VMware, Kubernetes, and Rancher for microservices deployment. Intermediate understanding of utilizing RestAPIs, Apache Spark, Kafka.
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Interview Process: 1 internal + 1 client round (possibly 2 client round, no in-person, all rounds will be video) Required Skills: Java, Spring Boot, Rest API, Kafka, Dockers, Kubernetes Nice to have skills: Healthcare experience, Google Cloud, Jenkins Job Summary: A Full Stack Engineer is a versatile role responsible for the development and implementation of both front-end and back-end solutions in a web development environment.
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Databases: Building optimal database persistence solutions using right database technologies (ex, PostgreSQL, MongoDB, Elasticsearch, Redis, KAFKA etc) Middleware: Building resource efficient, scalable, and resilient Microservices and APIs using Java/Python/Go.
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Detailed understanding of the following - Spring Boot/Go/Python, Spring Security, MongoDB, RabbitMQ/Kafka, Splunk, ELK, Kubernetes/OpenShift, Docker, Swagger. Strong exposure of developing digital solutions leveraging Microservices based architecture and/or cloud technologies in any of the B/OSS sub-domains (e.g. CRM, Fulfilment, Media & entertainment, Connectivity solutions, Product Management, Service Management, Inventories, Billing, and Assurance etc.
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Agile Scrum, Jira, Bitbucket, Jenkins, Splunk, Kafka, Hadoop, Reports, Selenium, Microservices and APIs, Deployment automation, unit test automation, CI/CD tools, OpenShift Containter. 5+ years of hands-on Senior Pega Developer responsible for design and development of overall application including re-usable classes and frameworks, component design, UI design providing scalable and resilient solution that meets functional and non-functional requirements.
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Learn more about this role Software Engineer III Pega. PEGA CLSA, Oracle SQL, JavaScript, Java, HTML, CSS3, SOAP, REST/JSON, XML, UI/COSMOS. Demonstrated knowledge of Agile scrum, Pega code reviews, guardrail compliance and UI design system best practices including Pega Cosmos.
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You'll have the opportunity to work with a modern tech stack, including Python, Django, React, TypeScript, Kafka, Terraform, Docker, Kubernetes, and AWS serverless technologies. 30% Platform Engineering (Kafka, Terraform, Docker, Kubernetes, AWS.
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Upstream compatibility is a core tenet of MSK. Your code changes to the Kafka platform will be released back to open source. We are seeking builders for our Amazon MSK service, a fully managed service that makes it easy for customers to build and run applications that use Apache Kafka to process streaming data.
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Proven experience as a Full Stack Developer with expertise in Angular, Java, microservices, Python, and Databricks. Design and maintain web applications using Angular, Java, microservices, Python, and Databricks.
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Sr. SRE ( Site Reliability Engineer) - Data DevOps/ DataOps/ No- SQL, Kafka , Databricks, Kubernetes, Kafka , Terrafoam. Based microservices, responsible for deployment, scripting language is python.
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Possess deep technical expertise in Java programming, Spring Boot microservices, and big data technologies in the AWS cloud environment (Redshift, Athena, etc. Extensive Expertise with Apache NiFi, JAVA and JAVA Spring boot Microservices, AWS, Red Shift, Athena and Big Data technologies.
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We use Kotlin, PostgreSQL, Kafka, Redis, Datadog, Amplitude, Grafana, BigQuery, ApacheSpark and more. You have at least one year of experience in any JVM based languages (such as Java, Kotlin, Scala) and are confident in your ability to build, debug and ship microservices.
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kafka microservices jobs Title: senior engineer Company: Verizon
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